comfort:
  Seek parameters for logistic regression example.
  We have M examples of N-dimensional data X.
  For a model
    h(x) = 1 / ( 1 + exp ( - ( w(0) + w(1)*h + w(2)*t ) ) )
  determine the weights w.

  Use gradient descent

  Estimated weights W = (9.05902,-11.2739,-7.66396)

  Graphics saved as "comfort.png"

comfort:
  Normal end of execution.